Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Peter E Latham"'
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 1, p e1009808 (2022)
Sensory processing is hard because the variables of interest are encoded in spike trains in a relatively complex way. A major goal in studies of sensory processing is to understand how the brain extracts those variables. Here we revisit a common enco
Externí odkaz:
https://doaj.org/article/673a2675b01944a0bbd8e32c6822f353
Autor:
Christopher B Currin, Phumlani N Khoza, Alexander D Antrobus, Peter E Latham, Tim P Vogels, Joseph V Raimondo
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 7, p e1007049 (2019)
Externí odkaz:
https://doaj.org/article/9d5da0b32bd74b11beb155d5904765f3
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 4, p e1005497 (2017)
Sensory neurons give highly variable responses to stimulation, which can limit the amount of stimulus information available to downstream circuits. Much work has investigated the factors that affect the amount of information encoded in these populati
Externí odkaz:
https://doaj.org/article/cbce68af3d6f448b8adb250f410f3ec2
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 12, p e1005110 (2016)
Zipf's law, which states that the probability of an observation is inversely proportional to its rank, has been observed in many domains. While there are models that explain Zipf's law in each of them, those explanations are typically domain specific
Externí odkaz:
https://doaj.org/article/4c2d12ce18ee4da49aabd0cbe57df691
Autor:
Yasser Roudi, Peter E Latham
Publikováno v:
PLoS Computational Biology, Vol 3, Iss 9, Pp 1679-1700 (2007)
A fundamental problem in neuroscience is understanding how working memory--the ability to store information at intermediate timescales, like tens of seconds--is implemented in realistic neuronal networks. The most likely candidate mechanism is the at
Externí odkaz:
https://doaj.org/article/29e2ec5aedeb4b73a58dd312e4b3409f
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 10, p e1004519 (2015)
Humans stand out from other animals in that they are able to explicitly report on the reliability of their internal operations. This ability, which is known as metacognition, is typically studied by asking people to report their confidence in the cor
Externí odkaz:
https://doaj.org/article/8ef501e3a9334fc2a6b0c1bf9ad375fc
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 5, p e1000380 (2009)
One of the most critical problems we face in the study of biological systems is building accurate statistical descriptions of them. This problem has been particularly challenging because biological systems typically contain large numbers of interacti
Externí odkaz:
https://doaj.org/article/e948b557e5944f76a9b2766c67842cba
Autor:
C. Randy Gallistel, Peter E. Latham
Publikováno v:
Timing & Time Perception. 11:29-89
Bayesian parameter estimation and Shannon’s theory of information provide tools for analysing and understanding data from behavioural and neurobiological experiments on interval timing—and from experiments on Pavlovian and operant conditioning, b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::307fad66ca4229b2b5af70aead4b7a59
https://doi.org/10.1163/22134468-bja10069
https://doi.org/10.1163/22134468-bja10069
Autor:
Laurence Aitchison, Peter E. Latham, Jean-Pascal Pfister, Jannes Jegminat, Jorge Aurelio Menendez, Alexandre Pouget
Publikováno v:
Nature Neuroscience. 24:565-571
Learning, especially rapid learning, is critical for survival. However, learning is hard; a large number of synaptic weights must be set based on noisy, often ambiguous, sensory information. In such a high-noise regime, keeping track of probability d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab36b3917da9693a0567b2ad504c99bb
https://doi.org/10.1038/s41593-021-00809-5
https://doi.org/10.1038/s41593-021-00809-5
Autor:
Peter E. Latham, Naoki Hiratani
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
Nature Communications
Nature Communications
Many experimental studies suggest that animals can rapidly learn to identify odors and predict the rewards associated with them. However, the underlying plasticity mechanism remains elusive. In particular, it is not clear how olfactory circuits achie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b8b09b07784f609b7ab43b4a228dd2b
http://link.springer.com/article/10.1038/s41467-020-17490-0
http://link.springer.com/article/10.1038/s41467-020-17490-0